01 January 1970 0 8K Report

Dear Colleagues,

The journal Water (ISSN: 2073-4441, IF 3.530) is currently running a Special Issue entitled “Artificial Intelligence and Machine/Deep Learning for Hydro-Meteorological Forecasting”. Dr. Quoc Bao Pham, Dr. Sk Ajim Ali, Dr. Sani Isah Abba and Dr. Rana Muhammad Adnan Ikram are serving as Guest Editors for this Special Issue. We think you could make an exceptional contribution based on your expertise in this particular field.

Scientists can benefit from the use of artificial intelligence systems, machine learning, neural networks, and deep learning while performing complex tasks such as weather forecasting. These technologies are very versatile and have been demonstrated to be more accurate than conventional methods at predicting weather patterns. Systems can be given a large amount of information, and after analysing the data they receive, they can learn to recognise natural phenomena, such as hurricanes, storms, snowfalls, and much more.

Thus, this Special Issue aims to provide an outlet for high-quality peer-reviewed publications that implement state-of-the-art models and techniques that incorporate AI- and ML-based methods to map, evaluate, and model hydro-meteorological forecasting, its monitoring, and their implications together, with the framing of newer hypotheses that can further our understanding of operative processes.

Suggested themes and article types for submissions

The Special Issue may include (without being limited to) the following themes:

  • Artificial intelligence in Hydro-meteorology;
  • Data-driven approach for hydro-meteorological modelling;
  • Machine and deep learning in micro-climate assessment;
  • AI and machine learning for weather predictions;
  • Spatio-temporal hydrological extremes through AI and machine learning;
  • Machine learning for weather and climate;
  • Monitoring hydrological hazards through remote sensing, GIS and machine learning;
  • Artificial intelligence for disaster risk reduction;
  • Potential of deep learning in multi-hazard assessment.

Given your competence in this area, we invite you to contribute a paper on the aforementioned subjects or any relevant issues.

Dr. Quoc Bao Pham Dr. Sk Ajim Ali Dr. Sani Isah Abba Dr. Rana Muhammad Adnan Ikram Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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